{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# K Nearest Neighbor Algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Download the CIFAR10 datasets, and load it"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You have two ways to download the CIFAR10 datasets:\n",
    "- cd the path to './CIFAR10/datasets/', and run the 'get_datasets.sh'. Then it will automatically download the datasets and decompress it.\n",
    "- Enter the CIFAR10 website: http://www.cs.toronto.edu/~kriz/cifar.html and manually download the python version. Then put the datasets in local folder './CIFAR10/datasets/'.\n",
    "\n",
    "The CIFAR10 datasets named 'cifar-10-batches-py/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Setup code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from CIFAR10.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the CIFAR10 data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'CIFAR10/datasets/cifar-10-batches-py'\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Show some CIFAR10 images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlMAAAHcCAYAAADyTy94AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nCFkDGlOEEEIIIWvwX5BPoZXSCgQ6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f121f4320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "classes = ['plane', 'car', 'bird', 'cat', 'dear', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "num_each_class = 7\n",
    "\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, num_each_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + (y + 1)\n",
    "        plt.subplot(num_each_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Subsample the data for more efficient code execution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# train numbers\n",
    "num_train = 5000\n",
    "mask = range(num_train)\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "# test numbers\n",
    "num_test = 500\n",
    "mask = range(num_test)\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape:  (5000, 3072)\n",
      "X_test shape:  (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# change 4D to 2D, like (5000, 32, 32, 3) -> (5000, 3072)\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print('X_train shape: ', X_train.shape)\n",
    "print('X_test shape: ', X_test.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Define a K Nearest Neighbor Class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "class KNearestNeighbor(object):\n",
    "    \"\"\"a KNN classifier with L2 distance\"\"\"\n",
    "    def __init__(self):\n",
    "        pass\n",
    "    \n",
    "    def train(self, X, y):\n",
    "        \"\"\"\n",
    "        Train the classifier. This is just memorizing all the training data.\n",
    "        Inputs:\n",
    "        - X: A numpy array of shape (num_train, D) containing the training data\n",
    "          consisting of num_train samples each of dimension D.\n",
    "        - y: A numpy array of shape (num_train,) containing the training labels, \n",
    "          where y[i] is the label for X[i].\n",
    "        \"\"\"\n",
    "        self.X_train = X\n",
    "        self.y_train = y\n",
    "    \n",
    "    def predict(self, X, k = 1, num_loops = 0):\n",
    "        \"\"\"\n",
    "        Test the classifier. \n",
    "        Inputs:\n",
    "        - X: A numpy array of shape (num_test, D) containing the test data\n",
    "          consisting of num_test samples each of dimension D.\n",
    "        - k: The number of nearest neighbors that vote for the predicted labels.\n",
    "        - num_loops: Determine whether use for-loop to calculate L2 distance\n",
    "          between the train points and test points\n",
    "        Return:\n",
    "        - pred_y: Predict output y\n",
    "        \"\"\"\n",
    "        # calculate the L2 distance between test X and train X\n",
    "        if num_loops == 0:\n",
    "            # no for-loop, vectorized\n",
    "            dists = self.cal_dists_no_loop(X)\n",
    "        elif num_loops == 1:\n",
    "            # one for-loop, half-vectorized\n",
    "            dists = self.cal_dists_one_loop(X)\n",
    "        elif num_loops == 2:\n",
    "            # two for-loop, no vectorized\n",
    "            dists = self.cal_dists_two_loop(X)\n",
    "        else:\n",
    "            raise ValueError('Invalid value %d for num_loops' % num_loops)\n",
    "\n",
    "        # predict the labels\n",
    "        num_test = X.shape[0]\n",
    "        y_pred = np.zeros(num_test)\n",
    "        for i in range(num_test):\n",
    "            dists_k_min = np.argsort(dists[i])[:k]    # the closest k distance loc \n",
    "            close_y = self.y_train[dists_k_min]    # the closest k distance ,all labels\n",
    "            y_pred[i] = np.argmax(np.bincount(close_y))    # [0,3,1,3,3,1] -> 3　as y_pred[i]\n",
    "        \n",
    "        return y_pred\n",
    "    \n",
    "    def cal_dists_no_loop(self, X):\n",
    "        \"\"\"\n",
    "        Calculate the distance with no for-loop\n",
    "        Input:\n",
    "        - X: A numpy array of shape (num_test, D) containing the test data\n",
    "          consisting of num_test samples each of dimension D.\n",
    "        Return:\n",
    "        - dists: The distance between test X and train X\n",
    "        \"\"\"\n",
    "        num_test = X.shape[0]\n",
    "        num_train = self.X_train.shape[0]\n",
    "        dists = np.zeros((num_test, num_train))\n",
    "        # (X - X_train)*(X - X_train) = -2X*X_train + X*X + X_train*X_train\n",
    "        d1 = np.multiply(np.dot(X, self.X_train.T), -2)    # shape (num_test, num_train)\n",
    "        d2 = np.sum(np.square(X), axis=1, keepdims=True)    # shape (num_test, 1)\n",
    "        d3 = np.sum(np.square(self.X_train), axis=1)    # shape (1, num_train)\n",
    "        dists = np.sqrt(d1 + d2 + d3)\n",
    "        \n",
    "        return dists\n",
    "    \n",
    "    def cal_dists_one_loop(self, X):\n",
    "        \"\"\"\n",
    "        Calculate the distance with one for-loop\n",
    "        Input:\n",
    "        - X: A numpy array of shape (num_test, D) containing the test data\n",
    "          consisting of num_test samples each of dimension D.\n",
    "        Return:\n",
    "        - dists: The distance between test X and train X\n",
    "        \"\"\"\n",
    "        num_test = X.shape[0]\n",
    "        num_train = self.X_train.shape[0]\n",
    "        dists = np.zeros((num_test, num_train))\n",
    "        for i in range(num_test):\n",
    "            dists[i] = np.sqrt(np.sum(np.square(self.X_train - X[i]), axis=1))\n",
    "        \n",
    "        return dists\n",
    "    \n",
    "    def cal_dists_two_loop(self, X):\n",
    "        \"\"\"\n",
    "        Calculate the distance with two for-loop\n",
    "        Input:\n",
    "        - X: A numpy array of shape (num_test, D) containing the test data\n",
    "          consisting of num_test samples each of dimension D.\n",
    "        Return:\n",
    "        - dists: The distance between test X and train X\n",
    "        \"\"\"\n",
    "        num_test = X.shape[0]\n",
    "        num_train = self.X_train.shape[0]\n",
    "        dists = np.zeros((num_test, num_train))\n",
    "        for i in range(num_test):\n",
    "            for j in range(num_train):\n",
    "                dists[i][j] = np.sqrt(np.sum(np.square(X[i] - self.X_train[j])))\n",
    "        \n",
    "        return dists   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Train and Test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a KNN classifier instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "KNN = KNearestNeighbor()\n",
    "KNN.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare the value of distance_computation by no loop, one-loop and two-loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The difference between no-loop and one-loop is: 0.000000\n",
      "The difference between no-loop and two-loop is: 0.000000\n",
      "Good, the distance matrices are the same!\n"
     ]
    }
   ],
   "source": [
    "dists_no_loop = KNN.cal_dists_no_loop(X_test)\n",
    "dists_one_loop = KNN.cal_dists_one_loop(X_test)\n",
    "dists_two_loop = KNN.cal_dists_two_loop(X_test)\n",
    "diff1 = np.linalg.norm(dists_no_loop - dists_one_loop)\n",
    "diff2 = np.linalg.norm(dists_no_loop - dists_two_loop)\n",
    "print('The difference between no-loop and one-loop is: %f' % diff1)\n",
    "print('The difference between no-loop and two-loop is: %f' % diff2)\n",
    "if diff1 < 0.001 and diff2 < 0.001:\n",
    "    print('Good, the distance matrices are the same!')\n",
    "else:\n",
    "    print('Oh, the distance matrices are different')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare the speed of distance_computation by no-loop, one-loop and two-loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop time: 0.185584 seconds\n",
      "One loop time: 27.167150 seconds\n",
      "Two loop time: 35.573068 seconds\n"
     ]
    }
   ],
   "source": [
    "def time_func(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    \n",
    "    t_st = time.time()\n",
    "    f(*args)\n",
    "    t_ed = time.time()\n",
    "    \n",
    "    return t_ed - t_st\n",
    "\n",
    "# no-loop\n",
    "no_loop_time = time_func(KNN.cal_dists_no_loop, X_test)\n",
    "print('No loop time: %f seconds' % no_loop_time)\n",
    "one_loop_time = time_func(KNN.cal_dists_one_loop, X_test)\n",
    "print('One loop time: %f seconds' % one_loop_time)\n",
    "two_loop_time = time_func(KNN.cal_dists_two_loop, X_test)\n",
    "print('Two loop time: %f seconds' % two_loop_time)\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So the fully vectorized implementation is fastest!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predict test dataset "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct 137/500: The accuracy is 0.274000\n"
     ]
    }
   ],
   "source": [
    "# k = 1\n",
    "y_pred = KNN.predict(X_test, k=1)\n",
    "num_correct = np.sum(y_pred == y_test)\n",
    "accuracy = np.mean(y_pred == y_test)\n",
    "print('Correct %d/%d: The accuracy is %f' % (num_correct, X_test.shape[0], accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct 139/500: The accuracy is 0.278000\n"
     ]
    }
   ],
   "source": [
    "# k = 5\n",
    "y_pred = KNN.predict(X_test, k=5)\n",
    "num_correct = np.sum(y_pred == y_test)\n",
    "accuracy = np.mean(y_pred == y_test)\n",
    "print('Correct %d/%d: The accuracy is %f' % (num_correct, X_test.shape[0], accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Cross Validation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We don't sure which **k** value is the best choice. So We will now determine the best value of this hyperparameter with cross-validation. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, fold = 1, accuracy: 0.263000\n",
      "k = 1, fold = 2, accuracy: 0.257000\n",
      "k = 1, fold = 3, accuracy: 0.264000\n",
      "k = 1, fold = 4, accuracy: 0.278000\n",
      "k = 1, fold = 5, accuracy: 0.266000\n",
      "k = 3, fold = 1, accuracy: 0.239000\n",
      "k = 3, fold = 2, accuracy: 0.249000\n",
      "k = 3, fold = 3, accuracy: 0.240000\n",
      "k = 3, fold = 4, accuracy: 0.266000\n",
      "k = 3, fold = 5, accuracy: 0.254000\n",
      "k = 5, fold = 1, accuracy: 0.248000\n",
      "k = 5, fold = 2, accuracy: 0.266000\n",
      "k = 5, fold = 3, accuracy: 0.280000\n",
      "k = 5, fold = 4, accuracy: 0.292000\n",
      "k = 5, fold = 5, accuracy: 0.280000\n",
      "k = 8, fold = 1, accuracy: 0.262000\n",
      "k = 8, fold = 2, accuracy: 0.282000\n",
      "k = 8, fold = 3, accuracy: 0.273000\n",
      "k = 8, fold = 4, accuracy: 0.290000\n",
      "k = 8, fold = 5, accuracy: 0.273000\n",
      "k = 10, fold = 1, accuracy: 0.265000\n",
      "k = 10, fold = 2, accuracy: 0.296000\n",
      "k = 10, fold = 3, accuracy: 0.276000\n",
      "k = 10, fold = 4, accuracy: 0.284000\n",
      "k = 10, fold = 5, accuracy: 0.280000\n",
      "k = 12, fold = 1, accuracy: 0.260000\n",
      "k = 12, fold = 2, accuracy: 0.295000\n",
      "k = 12, fold = 3, accuracy: 0.279000\n",
      "k = 12, fold = 4, accuracy: 0.283000\n",
      "k = 12, fold = 5, accuracy: 0.280000\n",
      "k = 15, fold = 1, accuracy: 0.252000\n",
      "k = 15, fold = 2, accuracy: 0.289000\n",
      "k = 15, fold = 3, accuracy: 0.278000\n",
      "k = 15, fold = 4, accuracy: 0.282000\n",
      "k = 15, fold = 5, accuracy: 0.274000\n",
      "k = 20, fold = 1, accuracy: 0.270000\n",
      "k = 20, fold = 2, accuracy: 0.279000\n",
      "k = 20, fold = 3, accuracy: 0.279000\n",
      "k = 20, fold = 4, accuracy: 0.282000\n",
      "k = 20, fold = 5, accuracy: 0.285000\n",
      "k = 50, fold = 1, accuracy: 0.271000\n",
      "k = 50, fold = 2, accuracy: 0.288000\n",
      "k = 50, fold = 3, accuracy: 0.278000\n",
      "k = 50, fold = 4, accuracy: 0.269000\n",
      "k = 50, fold = 5, accuracy: 0.266000\n",
      "k = 100, fold = 1, accuracy: 0.256000\n",
      "k = 100, fold = 2, accuracy: 0.270000\n",
      "k = 100, fold = 3, accuracy: 0.263000\n",
      "k = 100, fold = 4, accuracy: 0.256000\n",
      "k = 100, fold = 5, accuracy: 0.263000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5    # split the training dataset to 5 parts\n",
    "k_classes = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]    # all k, determine the best k\n",
    "\n",
    "# Split up the training data into folds\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "X_train_folds = np.split(X_train, num_folds)\n",
    "y_train_folds = np.split(y_train, num_folds)\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k\n",
    "k_accuracy = {}\n",
    "\n",
    "for k in k_classes:\n",
    "    accuracies = []\n",
    "    #knn = KNearestNeighbor()\n",
    "    for i in range(num_folds):\n",
    "        Xtr = np.concatenate(X_train_folds[:i] + X_train_folds[i+1:])\n",
    "        ytr = np.concatenate(y_train_folds[:i] + y_train_folds[i+1:])\n",
    "        Xcv = X_train_folds[i]\n",
    "        ycv = y_train_folds[i]\n",
    "        KNN.train(Xtr, ytr)\n",
    "        ycv_pred = KNN.predict(Xcv, k=k, num_loops=0)\n",
    "        accuracy = np.mean(ycv_pred == ycv)\n",
    "        accuracies.append(accuracy)\n",
    "    k_accuracy[k] = accuracies\n",
    "\n",
    "# Print the accuracy\n",
    "for k in k_classes:\n",
    "    for i in range(num_folds):\n",
    "        print('k = %d, fold = %d, accuracy: %f' % (k, i+1, k_accuracy[k][i]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAmsAAAHwCAYAAAD5BSj5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1f0e2d27b8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the cross validation\n",
    "for k in k_classes:\n",
    "    plt.scatter([k] * num_folds, k_accuracy[k])\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = [np.mean(k_accuracy[k]) for k in k_accuracy]\n",
    "accuracies_std = [np.std(k_accuracy[k]) for k in k_accuracy]\n",
    "plt.errorbar(k_classes, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct 141/500: The accuracy is 0.282000\n"
     ]
    }
   ],
   "source": [
    "# Choose the best k\n",
    "best_k = k_classes[np.argmax(accuracies_mean)]\n",
    "# Use the best k, and test it on the test data\n",
    "KNN = KNearestNeighbor()\n",
    "KNN.train(X_train, y_train)\n",
    "y_pred = KNN.predict(X_test, k=best_k, num_loops=0)\n",
    "num_correct = np.sum(y_pred == y_test)\n",
    "accuracy = np.mean(y_pred == y_test)\n",
    "print('Correct %d/%d: The accuracy is %f' % (num_correct, X_test.shape[0], accuracy))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
